Methods

For our research, we found data from government and non-profit sources. We downloaded the data using python coding and converted it into graphs, tables and maps for analysis. Below we list the data sources and the map analysis and coding tools that we used.

Data Sources

  • USGS National Water Dashboard, Groundwater Level Depth, 2006-2022, https://dashboard.waterdata.usgs.gov/app/nwd/en/?aoi=default
  • USGS National Water Dashboard, Streamflow (cfs), 2005-2022, https://dashboard.waterdata.usgs.gov/app/nwd/en/?aoi=default
  • US EPA, Water Quality Data Portal, Surface Water Quality, 2005-2022, https://www.waterqualitydata.us/
  • US Census Bureau Data, 2020 Tribal Census Data, https://www.census.gov/data.html
  • Navajo Nation Water Quality Project, navajowater.org, 1998-2000, http://navajowater.org/

Analysis Tools

python, jupyter, pandas, google colaboratory, earth lab, earthpy, GeoPandas, ArcGIS Pro